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XKnowSearch! Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval

Published: 2016 Oktober

Buchtitel: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM 2016)
Seiten: 2425–2428
Verlag: ACM

Referierte Veröffentlichung


In recent years, the amount of entities in large knowledge bases available on the Web has been increasing rapidly, making it possible to propose new ways of intelligent information access. Within the context of globalization, there is a clear need for techniques and systems that can enable multilingual and cross-lingual information access. In this paper, we present XKnowSearch!, a novel entity-based system for multilingual and cross-lingual information retrieval, which sup- ports keyword search and also allows users to influence the search process according to their search intents. By lever- aging the multilingual knowledge base on the Web, keyword queries and documents can be represented in their semantic forms, which can facilitate query disambiguation and expansion, and can also overcome the language barrier between queries and documents in different languages.

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Wissensrepräsentation, Natürliche Sprachverarbeitung, Semantic Web